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FedRL: A Reinforcement Learning Federated Recommender System for Efficient Communication Using Reinforcement Selector and Hypernet Generator

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00778-021-00700-6openalex-snapshot
Fast-adapting and privacy-preserving federated recommender system
inferredcites →https://doi.org/10.1007/s12652-022-03709-zopenalex-snapshot
Personalized federated recommendation system with historical parameter clustering
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Privacy-preserving graph convolution network for federated item recommendation
inferredcites →https://doi.org/10.1016/j.asoc.2023.110633openalex-snapshot
Generalizing supervised deep learning MRI reconstruction to multiple and unseen contrasts using meta-learning hypernetworks
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Federated learning based driver recommendation for next generation transportation system
inferredcites →https://doi.org/10.1016/j.ins.2022.04.027openalex-snapshot
Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems
inferredcites →https://doi.org/10.1016/j.jpdc.2022.12.002openalex-snapshot
A federated collaborative recommendation model for privacy-preserving distributed recommender applications based on microservice framework
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00405openalex-snapshot
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00883openalex-snapshot
Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00985openalex-snapshot
Layer-wised Model Aggregation for Personalized Federated Learning
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01110openalex-snapshot
HyperInverter: Improving StyleGAN Inversion via Hypernetwork
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01796openalex-snapshot
HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1109/icdm17440.2010openalex-snapshot
2010 IEEE International Conference on Data Mining
inferredcites →https://doi.org/10.1109/infocom40694.2019openalex-snapshot
IEEE INFOCOM 2019 - IEEE Conference on Computer Communications
inferredcites →https://doi.org/10.1109/infocom41043.2020.9155494openalex-snapshot
Optimizing Federated Learning on Non-IID Data with Reinforcement Learning
inferredcites →https://doi.org/10.1109/ipdps31752.2015openalex-snapshot
2015 IEEE International Parallel and Distributed Processing Symposium
inferredcites →https://doi.org/10.1109/ipdps47924.2020.00033openalex-snapshot
Experience-Driven Computational Resource Allocation of Federated Learning by Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/jiot.2020.2967772openalex-snapshot
A Learning-Based Incentive Mechanism for Federated Learning
inferredcites →https://doi.org/10.1109/jiot.2020.3016644openalex-snapshot
NOMA-Enabled Cooperative Computation Offloading for Blockchain-Empowered Internet of Things: A Learning Approach
inferredcites →https://doi.org/10.1109/jiot.2020.3026589openalex-snapshot
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network
inferredcites →https://doi.org/10.1109/jiot.2021.3081626openalex-snapshot
Multiagent Federated Reinforcement Learning for Secure Incentive Mechanism in Intelligent Cyber–Physical Systems
inferredcites →https://doi.org/10.1109/jsac.2020.3036946openalex-snapshot
Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching
inferredcites →https://doi.org/10.1109/jsac.2022.3227023openalex-snapshot
OSTTD: Offloading of Splittable Tasks With Topological Dependence in Multi-Tier Computing Networks
inferredcites →https://doi.org/10.1109/jsac.2023.3235443openalex-snapshot
Federated Deep Reinforcement Learning for Recommendation-Enabled Edge Caching in Mobile Edge-Cloud Computing Networks
inferredcites →https://doi.org/10.1109/jsac.2023.3242734openalex-snapshot
FedKL: Tackling Data Heterogeneity in Federated Reinforcement Learning by Penalizing KL Divergence
inferredcites →https://doi.org/10.1109/jsac.2023.3280970openalex-snapshot
Automatic Pipeline Parallelism: A Parallel Inference Framework for Deep Learning Applications in 6G Mobile Communication Systems
inferredcites →https://doi.org/10.1109/jsac.2023.3310046openalex-snapshot
Digital Twin Enhanced Federated Reinforcement Learning With Lightweight Knowledge Distillation in Mobile Networks
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/mis.2020.3017205openalex-snapshot
FedRec: Federated Recommendation With Explicit Feedback
inferredcites →https://doi.org/10.1109/mnet.008.2200654openalex-snapshot
Optimizing Efficient Personalized Federated Learning with Hypernetworks at Edge
inferredcites →https://doi.org/10.1109/tce.2023.3242375openalex-snapshot
Consumer-Centric Internet of Medical Things for Cyborg Applications Based on Federated Reinforcement Learning
inferredcites →https://doi.org/10.1109/tii.2022.3203395openalex-snapshot
Federated Learning-Based Cross-Enterprise Recommendation With Graph Neural Networks
inferredcites →https://doi.org/10.1109/tits.2022.3169421openalex-snapshot
PPO2: Location Privacy-Oriented Task Offloading to Edge Computing Using Reinforcement Learning for Intelligent Autonomous Transport Systems
inferredcites →https://doi.org/10.1109/tits.2022.3181436openalex-snapshot
Intrusion Detection for Maritime Transportation Systems With Batch Federated Aggregation
inferredcites →https://doi.org/10.1109/tkde.2023.3236370openalex-snapshot
Dual-View Preference Learning for Adaptive Recommendation
inferredcites →https://doi.org/10.1109/tnse.2022.3163144openalex-snapshot
TSMAE: A Novel Anomaly Detection Approach for Internet of Things Time Series Data Using Memory-Augmented Autoencoder
inferredcites →https://doi.org/10.1109/tpami.2021.3131131openalex-snapshot
General Hypernetwork Framework for Creating 3D Point Clouds
inferredcites →https://doi.org/10.1109/tsc.2023.3241615openalex-snapshot
SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service
inferredcites →https://doi.org/10.1145/1935826.1935877openalex-snapshot
Recommender systems with social regularization
inferredcites →https://doi.org/10.1145/2168752.2168771openalex-snapshot
Factorization Machines with libFM
inferredcites →https://doi.org/10.1145/2348283openalex-snapshot
Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
inferredcites →https://doi.org/10.1145/2433396.2433405openalex-snapshot
Exploiting homophily effect for trust prediction
inferredcites →https://doi.org/10.1145/2827872openalex-snapshot
The MovieLens Datasets
inferredcites →https://doi.org/10.1145/2988450.2988454openalex-snapshot
Wide & Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3158369openalex-snapshot
Facial Expression Analysis under Partial Occlusion
inferredcites →https://doi.org/10.1145/3159652.3159688openalex-snapshot
Discrete Deep Learning for Fast Content-Aware Recommendation
inferredcites →https://doi.org/10.1145/3285029openalex-snapshot
Deep Learning Based Recommender System
inferredcites →https://doi.org/10.1145/3336191.3371831openalex-snapshot
RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
inferredcites →https://doi.org/10.1145/3383313.3411528openalex-snapshot
A Federated Recommender System for Online Services
inferredcites →https://doi.org/10.1145/3397271.3401081openalex-snapshot
Meta Matrix Factorization for Federated Rating Predictions
inferredcites →https://doi.org/10.1145/3437963openalex-snapshot
Proceedings of the 14th ACM International Conference on Web Search and Data Mining
inferredcites →https://doi.org/10.1145/3437963.3441764openalex-snapshot
User Response Models to Improve a REINFORCE Recommender System
inferredcites →https://doi.org/10.1145/3442381.3449942openalex-snapshot
DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce
inferredcites →https://doi.org/10.1145/3460231.3474240openalex-snapshot
EX3: Explainable Attribute-aware Item-set Recommendations
inferredcites →https://doi.org/10.1145/3466753openalex-snapshot
Learning to Learn a Cold-start Sequential Recommender
inferredcites →https://doi.org/10.1145/3477495.3532040openalex-snapshot
Positive, Negative and Neutral
inferredcites →https://doi.org/10.1145/3485447.3512003openalex-snapshot
Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph Network
inferredcites →https://doi.org/10.1145/3501810openalex-snapshot
PSDF: Privacy-aware IoV Service Deployment with Federated Learning in Cloud-Edge Computing
inferredcites →https://doi.org/10.1145/3501815openalex-snapshot
Federated Social Recommendation with Graph Neural Network
inferredcites →https://doi.org/10.1145/3534678.3539342openalex-snapshot
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3539597.3570463openalex-snapshot
Federated Unlearning for On-Device Recommendation
inferredcites →https://doi.org/10.1145/3543507openalex-snapshot
Proceedings of the ACM Web Conference 2023
inferredcites →https://doi.org/10.1145/3543507.3583337openalex-snapshot
Semi-decentralized Federated Ego Graph Learning for Recommendation
inferredcites →https://doi.org/10.1145/3543507.3583513openalex-snapshot
Denoising and Prompt-Tuning for Multi-Behavior Recommendation
inferredcites →https://doi.org/10.1145/3560486openalex-snapshot
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences
inferredcites →https://doi.org/10.1145/3578361openalex-snapshot
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization
inferredcites →https://doi.org/10.1145/3580305.3599345openalex-snapshot
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy
inferredcites →https://doi.org/10.1145/3580305.3599796openalex-snapshot
Controllable Multi-Objective Re-ranking with Policy Hypernetworks
inferredcites →https://doi.org/10.1145/3582426openalex-snapshot
A Dense Representation Framework for Lexical and Semantic Matching
inferredcites →https://doi.org/10.1145/3583780openalex-snapshot
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
inferredcites →https://doi.org/10.1145/3583780.3614837openalex-snapshot
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation
inferredcites →https://doi.org/10.1145/3583780.3614921openalex-snapshot
HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation
inferredcites →https://doi.org/10.1145/3589334openalex-snapshot
Proceedings of the ACM Web Conference 2024
inferredcites →https://doi.org/10.1145/3637528openalex-snapshot
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
inferredcites →https://doi.org/10.1609/aaai.v35i5.16546openalex-snapshot
FedRec++: Lossless Federated Recommendation with Explicit Feedback
inferredcites →https://doi.org/10.1609/aaai.v36i11.21474openalex-snapshot
Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier Features
inferredcites →https://doi.org/10.1609/aaai.v36i8.20894openalex-snapshot
A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning
inferredcites →https://doi.org/10.24963/ijcai.2023/507openalex-snapshot
Dual Personalization on Federated Recommendation
inferredcites →https://doi.org/10.3390/app13074407openalex-snapshot
MFPCDR: A Meta-Learning-Based Model for Federated Personalized Cross-Domain Recommendation
inferredcites →https://doi.org/10.48550/arxiv.1602.05629openalex-snapshot
Communication-Efficient Learning of Deep Networks from Decentralized Data
inferredcites →https://doi.org/10.48550/arxiv.2002.10006openalex-snapshot
On the Modularity of Hypernetworks
inferredcites →https://doi.org/10.48550/arxiv.2102.03448openalex-snapshot
Federated Reconstruction: Partially Local Federated Learning
inferredcites →https://doi.org/10.48550/arxiv.2110.14074openalex-snapshot
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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